Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Rainfed agriculture cropland soil microbiome

PROVIDER: PRJNA727953 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR14461600_1.fastq.gz	Fastqsanger.gz
	SRR14461600_2.fastq.gz	Fastqsanger.gz
	SRR14461601_1.fastq.gz	Fastqsanger.gz
	SRR14461601_2.fastq.gz	Fastqsanger.gz
	SRR14461566_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 72

Similar Datasets

rainfed cropland soil metagenome

Project description:rainfed cropland soil microbiome

| PRJNA728219 | ENA

Project description:Rainfed agriculture cropland fungal community

| PRJNA731559 | ENA

soil metagenome

Project description:Agriculture upplands soil microbiome

| PRJNA792913 | ENA

Microbial communities of wheat plants inoculated with endophytic bacterium Enterobacter sp. SA187

Project description:Global warming has become a critical challenge to food safety, causing severe yield losses of major crops worldwide. Here, we report that the endophytic bacterium Enterobacter sp. SA187 induces thermotolerance of crops in a sustainable manner. Microbiome diversity of wheat plants is positively influenced by SA187 in open field agriculture, indicating that beneficial microbes can be a powerful tool to enhance agriculture in open field agriculture.

2021-02-28 | GSE147553 | GEO

Soil Samples

Project description:Characterizing the soil microbiome under different regenerative agriculture versus conventional agriculture practices

| PRJNA912401 | ENA

Project description:Fungal community of cropland soil

| PRJNA498539 | ENA

Project description:Dairy barn and cropland soil metagenomics

| PRJNA764498 | ENA

Implications of the use of organic fertilizers for Antibiotic Resistant Gene dissemination in agricultural soils and fresh food products. A plot-scale study

Project description:The spread of antibiotic resistance genes (ARG) into agricultural soils, products, and foods severely limits the use of organic fertilizers in agriculture. In this study, experimental land plots were fertilized, sown, and harvested for two consecutive agricultural cycles using either mineral or three types of organic fertilizers: sewage sludge, pig slurry, or composted organic fraction of municipal solid waste. The analysis of the relative abundances of more than 200,000 ASV (Amplicon Sequence Variants) allowed the identification of a small, but significant (<10%) overlap between soil and fertilizer microbiomes, particularly in soils sampled the same day of the harvest (post-harvest soils). Loads of clinically relevant ARG were significantly higher (up to 100 fold) in fertilized soils relative to the initial soil. The highest increases corresponded to post-harvest soils treated with organic fertilizers, and they correlated with the extend of the contribution of fertilizers to the soil microbiome. Edible products (lettuce and radish) showed low, but measurable loads of ARG (sul1 for lettuces and radish, tetM for lettuces). These loads were minimal in mineral fertilized soils, and strongly dependent on the type of fertilizer. We concluded that at least part of the observed increase on ARG loads in soils and foodstuffs were actual contributions from the fertilizer microbiomes. Thus, we propose that adequate waste management and good pharmacological and veterinarian practices may significantly reduce the potential health risk posed by the presence of ARG in agricultural soils and plant products.

2021-07-09 | GSE179685 | GEO

Multi-Omics interrogation of soil microcosms amended with condensed tannins

Project description:Investigating soil microbiome responses to polyphenols under anoxia

2021-03-02 | PXD019911 | Pride

Annual Removal of Aboveground Plant Biomass Alters Soil Microbial Responses to Warming

Project description:Clipping (i.e., harvesting aboveground plant biomass) is common in agriculture and for bioenergy production. However, microbial responses to clipping in the context of climate warming are poorly understood. We investigated the interactive effects of grassland warming and clipping on soil properties, plant and microbial communities, in particular microbial functional genes. Clipping alone did not change the plant biomass production, but warming and clipping combined increased the C4 peak biomass by 47% and belowground net primary production by 110%. Clipping alone and in combination with warming decreased the soil carbon input from litter by 81% and 75%, respectively. With less carbon input, the abundances of genes involved in degrading relatively recalcitrant carbon increased by 38-137% in response to either clipping or the combined treatment, which could weaken the long-term soil carbon stability and trigger a positive feedback to warming. Clipping alone also increased the abundance of genes for nitrogen fixation, mineralization and denitrification by 32-39%. The potentially stimulated nitrogen fixation could help compensate for the 20% decline in soil ammonium caused by clipping alone, and contribute to unchanged plant biomass. Moreover, clipping tended to interact antagonistically with warming, especially on nitrogen cycling genes, demonstrating that single factor studies cannot predict multifactorial changes. These results revealed that clipping alone or in combination with warming altered soil and plant properties, as well as the abundance and structure of soil microbial functional genes. The aboveground biomass removal for biofuel production needs to be re-considered as the long-term soil carbon stability may be weakened.

2016-09-27 | GSE86527 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data